WE2.R15.5

A deep learning-based robust active fire detection model by fusion of satellite and numerical model data

Yoojin Kang, Taejun Sung, Jungho Im, Ulsan National Institute of Science and Technology, South Korea
Session:
WE2.R15: Remotely Sensed Monitoring and Nowcasting of Environmental Disasters Oral
Track:
Community-Contributed Sessions
Location:
Room F
Presentation Time:
Wed, 19 Jul, 11:03 - 11:15 Pacific Time (UTC -7)
Session Co-Chairs:
Yong Xue, China University of Mining and Technology and Costas Varotsos, National and Kapodistrian University of Athens
Session Manager:
HUMAIRA SANAM
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Session WE2.R15
WE2.R15.1: OBSERVING ANTHROPOGENIC CO2 EMISSIONS WITH TANSAT IN NORTHEAST CHINA
Chunlin Jin, Yong Xue, Tao Yuan, Shengwei Li, Botao He, Liang Zhao, China University of Mining and Technology, China
WE2.R15.2: ANALYSIS OF URBAN IMPORTED AIR POLLUTION SOURCES BASED ON MERRA-2
Xi Lu, Yong Xue, Botao He, Shuhui Wu, Xiangkai Wang, Xingxing Jiang, China University of Mining and Technology, China
WE2.R15.3: ESTIMATION OF HOURLY PM2.5 MASS CONCENTRATION FROM GEOSTATIONARY SATELLITE AEROSOL OPTICAL DEPTH DATA
Yuxin Sun, Yong Xue, Tengfei Cui, Xingxing Jiang, Shuhui Wu, Chunlin Jin, China University of Mining and Technology, China
WE2.R15.4: LANDSLIDE SUSCEPTIBILITY MODELING USING GEO-ARTIFICIAL NEURAL NETWORK (G-ANN) ALONG THE CHINA-PAKISTAN ECONOMIC CORRIDOR (CPEC)
Iqra Atif, University of the Witwatersrand, South Africa; Aamir Shahzad, National University of Sciences & Technology (NUST), Pakistan; Sarfraz Ali, Muhammad Ahsan Mahboob, University of the Witwatersrand, Johannesburg, South Africa, South Africa
WE2.R15.5: A deep learning-based robust active fire detection model by fusion of satellite and numerical model data
Yoojin Kang, Taejun Sung, Jungho Im, Ulsan National Institute of Science and Technology, South Korea
Resources
No resources available.